Towards design of compound channels with minimum overall cost through grey wolf optimization algorithm

Autor: Kiyoumars Roushangar, Aida Nouri, Saman Shahnazi, Hazi Md Azamathulla
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Hydroinformatics, Vol 23, Iss 5, Pp 985-999 (2021)
Druh dokumentu: article
ISSN: 1464-7141
1465-1734
DOI: 10.2166/hydro.2021.050
Popis: The significant role of open channels in agriculture include supplying drinking water, industry, irrigation and flood control, making these hydraulic structures an integral part of the water conveyance system. Determination of optimum dimensions with minimum construction costs is considered as the primary concern when designing artificial open channels. To achieve this, the compound channels were evaluated with the following constraints, viz. composite roughness, velocity, Froude number and channel stability. Grey wolf optimization (GWO) was used to determine the optimal geometry of the channel. Optimization results clearly showed that the variation of roughness coefficient and the increase of factor of safety increased costs by 60 and 20% respectively. The optimum suitable cross-section for the compound channels was obtained by conducting various model scenarios. HIGHLIGHTS Grey wolf optimization (GWO) is proposed as an evolutionary method to achieve the optimum dimension of compound channels.; Two types of compound channel sections are investigated.; The constraints of roughness coefficient, velocity, Froude number and channel stability are evaluated.; Variation of roughness coefficient significantly impacts the construction cost.;
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